Applied AI Engineer

**We’re looking for an engineer with significant AI/ML + LLM experience to build AI-native core tools and agents for frontend chip design workflows.**

### **Who you are:**

You are excited about transforming the way chips are built by the semiconductor industry.

You are resourceful, a self-starter, and care intensely about the quality of your work.

You want to work at a scrappy startup that sets and meets aggressive goals.

You want to own/drive core product and write/ship code every day.

You want to work with our customers/users and translate their feedback into company/product direction.

**If this sounds like you, please apply to join the team!**

### **What you’ll do:**

* Develop AI models, core tools, and infrastructure that ship to Fortune enterprises and chip unicorns * Make architectural decisions for key product features * Translate user feedback into product updates/features * Plan core product roadmap and strategy

### **Minimum requirements:**

* Highly skilled with Python, C++, PyTorch/torch * Strong understanding of traditional ML models, LLMs, foundation models, and agents * Experience building ML pipelines * Experience fine-tuning and benchmarking LLMs/foundation models * Excited about applying AI/ML techniques to chip design * Good at shipping high-quality code quickly * Resilient, data-driven, and works from first principles

### **Ideal requirements:**

* Have shipped product using LLMs, foundation models, and/or agentic workflows * Experience with AWS SageMaker

### **Nice-to-have requirements:**

* Experience with AI/ML-driven chip EDA software tooling (either open-source or commercial tools) * Experience with designing chips (either open-source or commercial designs)

### **Benefits:**

* Generous salary and equity package * Full health/vision/dental/401k benefits * Team meals

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**Apply to chat with the founders about the details!**